PInvoke: When is the memory allocated by the CLR marshaller freed?

I am using PInvoke to pass the following class to unmanaged C++ when the app starts up. All the values are passed in correctly as I step through the code. Inside the called C++ method I save a the ptr to the passed in struct.

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Hi
How to check how much memory from .NET process is allocated in pagefile?
I was trying use task manager and perfmon but I could not find any counter/column that would tell me how much memory from specific .NET process is in pagefile.
Regards

I want to find out how to get memory information from SQL Server using DMVs that will equal to or be very close to the memory shown in Mem Usage column of Windows Task Manager for sqlservr.exe. I have tried to sum
single_pages_kb, multi_pages_kb, and virtual_memory_committed_kb from sys.dm_os_memory_clerks but the combined total is still less than the Mem Usage from Windows Task Manager.

Despite what a lot of people believe, it's easy to introduce memory and resources leaks in .NET applications. The Garbage Collector, or GC for close friends, is not a magician who would completely relieve you from taking care of your memory and resources consumption.

I'll explain in this article why memory leaks exist in .NET and how to avoid them. Don't worry, I won't focus here on the inner workings of the garbage collector and other advanced characteristics of memory and resources management in .NET.

What are the options for handling file uploads to reduce the memory footprint? Is there a way to upload in chunks? Is there a way to stream upload directly to disk instead of loading entire file in server memory?

Injecting parallelism into your app is easy-managed code offers things like explicit threading and a thread pool for that. Ensuring your code remains correct when run in parallel, on the other hand, is not quite so simple.

Because the use of low-lock techniques in your application significantly increases the likelihood of introducing hard-to-find bugs, it is best to use them only when absolutely necessary. Here Vance Morrison demonstrates the limitations and subtleties low-lock techniques so that if you are forced to use them you have a better chance of using them correctly.

Managed applications rely on the garbage collector in the .NET Framework to allocate and clean up memory. The little CPU time spent performing garbage collection (GC) is usually a fair trade-off for not having to worry about memory management. But for applications in which CPU time and memory are precious resources, minimizing the time spent garbage collecting can greatly improve application performance and robustness. Find out how to manage memory all over again.

Most C++ developers make extensive use of the Standard Template Library (STL) in their code. If you are one of them and are using STL and Visual C++ 6.0 directly out of the box, your application is at high risk of crashing under low memory conditions. The problem arises because checking for failure of operator new is such an uncommon practice. To make things worse, when new does fail, the response is not standard. Some language compilers return NULL while others throw an exception.In addition, if you are using STL in an MFC project, be aware that MFC has its own set of rules. This article discusses these problems, explains how the default behavior has changed in Visual C++ .NET 2003, and outlines the changes you must make if you're using Visual C++ 6.0 so that you can safely use the STL when operator new fails.

Developers using .NET often make memory leak tracking a low priority because the common language runtime takes care of garbage collection. What few developers realize, however, is that their objects' lifespans, along with their size and what other objects have been instantiated, all affect how they are cleaned up. Depending on the particular circumstances, these combinations can negatively affect performance, especially over the lifetime of an application. This article presents a way for developers to see memory usage and understand garbage collection using the .NET Profiler API. Along the way, a sample application to demonstrate these principles is built.